Cargando…
A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems
Sensor nodes in wireless sensor networks are easily exposed to open and unprotected regions. A security solution is strongly recommended to prevent networks against malicious attacks. Although many intrusion detection systems have been developed, most systems are difficult to implement for the senso...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673066/ https://www.ncbi.nlm.nih.gov/pubmed/23529146 http://dx.doi.org/10.3390/s130403998 |
_version_ | 1782272201504849920 |
---|---|
author | Kim, Ilkyu Oh, Doohwan Yoon, Myung Kuk Yi, Kyueun Ro, Won Woo |
author_facet | Kim, Ilkyu Oh, Doohwan Yoon, Myung Kuk Yi, Kyueun Ro, Won Woo |
author_sort | Kim, Ilkyu |
collection | PubMed |
description | Sensor nodes in wireless sensor networks are easily exposed to open and unprotected regions. A security solution is strongly recommended to prevent networks against malicious attacks. Although many intrusion detection systems have been developed, most systems are difficult to implement for the sensor nodes owing to limited computation resources. To address this problem, we develop a novel distributed network intrusion detection system based on the Wu–Manber algorithm. In the proposed system, the algorithm is divided into two steps; the first step is dedicated to a sensor node, and the second step is assigned to a base station. In addition, the first step is modified to achieve efficient performance under limited computation resources. We conduct evaluations with random string sets and actual intrusion signatures to show the performance improvement of the proposed method. The proposed method achieves a speedup factor of 25.96 and reduces 43.94% of packet transmissions to the base station compared with the previously proposed method. The system achieves efficient utilization of the sensor nodes and provides a structural basis of cooperative systems among the sensors. |
format | Online Article Text |
id | pubmed-3673066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-36730662013-06-19 A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems Kim, Ilkyu Oh, Doohwan Yoon, Myung Kuk Yi, Kyueun Ro, Won Woo Sensors (Basel) Article Sensor nodes in wireless sensor networks are easily exposed to open and unprotected regions. A security solution is strongly recommended to prevent networks against malicious attacks. Although many intrusion detection systems have been developed, most systems are difficult to implement for the sensor nodes owing to limited computation resources. To address this problem, we develop a novel distributed network intrusion detection system based on the Wu–Manber algorithm. In the proposed system, the algorithm is divided into two steps; the first step is dedicated to a sensor node, and the second step is assigned to a base station. In addition, the first step is modified to achieve efficient performance under limited computation resources. We conduct evaluations with random string sets and actual intrusion signatures to show the performance improvement of the proposed method. The proposed method achieves a speedup factor of 25.96 and reduces 43.94% of packet transmissions to the base station compared with the previously proposed method. The system achieves efficient utilization of the sensor nodes and provides a structural basis of cooperative systems among the sensors. Molecular Diversity Preservation International (MDPI) 2013-03-25 /pmc/articles/PMC3673066/ /pubmed/23529146 http://dx.doi.org/10.3390/s130403998 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Kim, Ilkyu Oh, Doohwan Yoon, Myung Kuk Yi, Kyueun Ro, Won Woo A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems |
title | A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems |
title_full | A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems |
title_fullStr | A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems |
title_full_unstemmed | A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems |
title_short | A Distributed Signature Detection Method for Detecting Intrusions in Sensor Systems |
title_sort | distributed signature detection method for detecting intrusions in sensor systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673066/ https://www.ncbi.nlm.nih.gov/pubmed/23529146 http://dx.doi.org/10.3390/s130403998 |
work_keys_str_mv | AT kimilkyu adistributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems AT ohdoohwan adistributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems AT yoonmyungkuk adistributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems AT yikyueun adistributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems AT rowonwoo adistributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems AT kimilkyu distributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems AT ohdoohwan distributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems AT yoonmyungkuk distributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems AT yikyueun distributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems AT rowonwoo distributedsignaturedetectionmethodfordetectingintrusionsinsensorsystems |